How-to

(Abstracted with permission from NLP in a Hurry by Pier Lim.) Here is a collection of different Python libraries for natural language processing (NLP) which can be invaluable for rapid prototyping. Semantic Similarity Sentence Transformers … Read more

Some take-away points from Microsoft’s paper Microsoft presented this paper at this year’s International Conference on Software Engineering (ICSE 2019). It is a distillation of the experiences gained by the numerous software teams within the … Read more

Introduction Machine learning algorithms can take significant amounts of time to run. Intel’s distribution of Python aims to accelerate this machine learning process without users having to switch to C or C++. The prospect of … Read more

As an economist by training, I did a lot of mathematics and statistics modules during my university days. I only had a one-module experience in programming and that was with Java, which in my opinion … Read more

I have been looking at the emerging tooling around reproducible data science recently and am glad to have discovered Polyaxon. While still in the early stages of development, being able to run and scale the … Read more

Automating reptitive tasks is one of the hallmarks of software engineering. One of the main task in data science is to be able to extract good and relevant features from your data. The marriage of … Read more

A good read from IBM on how a full stack end to end AI hardware infrastructure can be put together. Built with scalability in mind with comprehensive coverage of the various needs within an enterprise … Read more

Some of AI Singapore’s team members including myself  have been helping companies build their data analytics/data science capabilities and teams since 2011. Several of us form the core team in Revolution Analytics (enterprise R) in … Read more

How many of you are master procrastinators?  If you are, you have come to the right place. In this post, I would like to share with you guys some tips and tricks I have picked up … Read more